[multi_overview_desc]
[multi_compare]
[multi_sections]
[analysis_n_of]
Assay Type: ELISA
Analysis Date: 2026-02-10
Analyst: MOELLERKR
This report analyzes ELISA data using a four-parameter logistic dose–response curve to estimate concentrations of cortisol in unknown samples.
Method: Competitive enzyme-linked immunosorbent assay with %B/B0 normalization
No additional notes provided.
| Standard | Concentration (pg/mL) |
|---|---|
| 1 | 4,000.0 |
| 2 | 1,600.0 |
| 3 | 640.0 |
| 4 | 256.0 |
| 5 | 102.4 |
| 6 | 41.0 |
| 7 | 16.4 |
| 8 | 6.6 |
✅ All standards show acceptable variability (<30% CV).
| Parameter | Estimate | Std. Error | P-value | |
|---|---|---|---|---|
| b:(Intercept) | Hill Slope | 1.06 | 0.10 | NA |
| c:(Intercept) | Bottom | 0.00 | 3.80 | NA |
| d:(Intercept) | Top | 100.00 | 1.83 | NA |
| e:(Intercept) | IC50 | 378.33 | 39.53 | NA |
Model Fit Statistics:
| Nominal (pg/mL) | n | Back-Calc. (pg/mL) | SD (pg/mL) | Recovery (%) |
|---|---|---|---|---|
| 4,000.0 | 2 | 4,784.14 | 294.1 | 119.60 |
| 1,600.0 | 2 | 1,594.29 | 159.4 | 99.64 |
| 640.0 | 2 | 597.26 | 49.0 | 93.32 |
| 256.0 | 2 | 266.32 | 13.2 | 104.03 |
| 102.4 | 2 | 115.46 | 31.4 | 112.75 |
| 41.0 | 2 | 30.72 | 17.6 | 74.92 |
| 16.4 | 2 | 15.14 | 16.2 | 92.30 |
| 6.6 | 2 | NaN | — | — |
##
## **Overall Mean Recovery:** 99.5%
## ✅ Overall recovery is within acceptable range (80–120%).
##
## **Output Files Created:**
## - `unknown_results.csv` - Individual well results
## - `unknown_results_summary.csv` - Replicate group statistics with confidence intervals
##
## **⚠️ Quality Alert:**
## - Replicate groups with high variability (CV > 30%): AE, BD, BH
## - Consider checking sample preparation or dilution consistency
| Replicate Group | Sample IDs | Sample Type | n | Mean (pg/mL) | SD (pg/mL) | SE (pg/mL) | 95% CI | CV% | Range |
|---|---|---|---|---|---|---|---|---|---|
| AA | A4,A5 | Sample | 2 | 438.99 | 4.89 | 3.46 | 1.11 | [395.0 – 482.9] | ✅ | |
| AB | C4,C5 | Sample | 2 | 30.22 | 6.92 | 4.89 | 22.89 | [ 0.0 – 92.4] | <LLOQ |
| AC | E4,E5 | Sample | 2 | 1,150.11 | 17.66 | 12.49 | 1.54 | [991.4 – 1308.8] | ✅ | |
| AD | G4,G5 | Sample | 2 | 890.87 | 103.89 | 73.46 | 11.66 | [ 0.0 – 1824.3] | ✅ | |
| AE | B4,B5 | Sample | 2 | 43.37 | 17.26 | 12.20 | 39.79 | [ 0.0 – 198.4] | <LLOQ |
| AF | D4,D5 | Sample | 2 | 32.83 | 5.11 | 3.61 | 15.56 | [ 0.0 – 78.7] | <LLOQ |
| AG | F4,F5 | Sample | 2 | 942.78 | 30.48 | 21.55 | 3.23 | [668.9 – 1216.6] | ✅ | |
| AH | H4,H5 | Sample | 2 | 810.20 | 24.51 | 17.33 | 3.03 | [590.0 – 1030.4] | ✅ | |
| BA | A6,A7 | Sample | 2 | 952.81 | 53.05 | 37.51 | 5.57 | [476.2 – 1429.4] | ✅ | |
| BB | C6,C7 | Sample | 2 | 1,724.14 | 193.09 | 136.54 | 11.20 | [ 0.0 – 3459.0] | >ULOQ |
| BC | E6,E7 | Sample | 2 | 406.20 | 74.75 | 52.86 | 18.40 | [ 0.0 – 1077.8] | ✅ | |
| BD | G6,G7 | Sample | 2 | 26.85 | 20.17 | 14.26 | 75.11 | [ 0.0 – 208.1] | <LLOQ |
| BE | B6,B7 | Sample | 2 | 851.00 | 11.26 | 7.96 | 1.32 | [749.8 – 952.2] | ✅ | |
| BF | D6,D7 | Sample | 2 | 770.88 | 58.74 | 41.54 | 7.62 | [243.1 – 1298.6] | ✅ | |
| BG | F6,F7 | Sample | 2 | 87.30 | 7.25 | 5.13 | 8.31 | [ 22.1 – 152.5] | <LLOQ |
| BH | H6,H7 | Sample | 2 | 32.92 | 12.55 | 8.87 | 38.12 | [ 0.0 – 145.6] | <LLOQ |
Report Generated: 2026-02-10
Contact: kr.moeller@iaea.org
Feedback: Online Form
Automated bioassay analysis using modular system v2.0
[analysis_n_of]
Assay Type: ELISA
Analysis Date: 2026-02-10
Analyst: MOELLERKR
This report analyzes ELISA data using a four-parameter logistic dose–response curve to estimate concentrations of cortisol in unknown samples.
Method: Competitive enzyme-linked immunosorbent assay with %B/B0 normalization
No additional notes provided.
| Standard | Concentration (pg/mL) |
|---|---|
| 1 | 4,000.0 |
| 2 | 1,600.0 |
| 3 | 640.0 |
| 4 | 256.0 |
| 5 | 102.4 |
| 6 | 41.0 |
| 7 | 16.4 |
| 8 | 6.6 |
✅ All standards show acceptable variability (<30% CV).
| Parameter | Estimate | Std. Error | P-value | |
|---|---|---|---|---|
| b:(Intercept) | Hill Slope | 1.05 | 0.09 | NA |
| c:(Intercept) | Bottom | 0.00 | 3.68 | NA |
| d:(Intercept) | Top | 100.00 | 1.80 | NA |
| e:(Intercept) | IC50 | 375.71 | 38.09 | NA |
Model Fit Statistics:
| Nominal (pg/mL) | n | Back-Calc. (pg/mL) | SD (pg/mL) | Recovery (%) |
|---|---|---|---|---|
| 4,000.0 | 2 | 4,874.24 | 75.8 | 121.86 |
| 1,600.0 | 2 | 1,601.11 | 169.6 | 100.07 |
| 640.0 | 2 | 596.38 | 48.6 | 93.18 |
| 256.0 | 2 | 265.45 | 14.1 | 103.69 |
| 102.4 | 2 | 114.87 | 29.7 | 112.17 |
| 41.0 | 2 | 31.49 | 16.3 | 76.81 |
| 16.4 | 2 | 16.26 | 16.8 | 99.13 |
| 6.6 | 2 | NaN | — | — |
##
## **Overall Mean Recovery:** 101.0%
## ✅ Overall recovery is within acceptable range (80–120%).
##
## **Output Files Created:**
## - `unknown_results.csv` - Individual well results
## - `unknown_results_summary.csv` - Replicate group statistics with confidence intervals
##
## **⚠️ Quality Alert:**
## - Replicate groups with high variability (CV > 30%): AE, BD, BH
## - Consider checking sample preparation or dilution consistency
| Replicate Group | Sample IDs | Sample Type | n | Mean (pg/mL) | SD (pg/mL) | SE (pg/mL) | 95% CI | CV% | Range |
|---|---|---|---|---|---|---|---|---|---|
| AA | A4,A5 | Sample | 2 | 439.25 | 4.86 | 3.44 | 1.11 | [395.6 – 482.9] | ✅ | |
| AB | C4,C5 | Sample | 2 | 30.69 | 6.34 | 4.48 | 20.65 | [ 0.0 – 87.6] | <LLOQ |
| AC | E4,E5 | Sample | 2 | 1,143.01 | 17.40 | 12.31 | 1.52 | [986.7 – 1299.4] | ✅ | |
| AD | G4,G5 | Sample | 2 | 889.63 | 99.18 | 70.13 | 11.15 | [ 0.0 – 1780.7] | ✅ | |
| AE | B4,B5 | Sample | 2 | 43.66 | 18.38 | 13.00 | 42.09 | [ 0.0 – 208.8] | <LLOQ |
| AF | D4,D5 | Sample | 2 | 32.93 | 5.01 | 3.54 | 15.22 | [ 0.0 – 78.0] | <LLOQ |
| AG | F4,F5 | Sample | 2 | 938.46 | 30.11 | 21.29 | 3.21 | [667.9 – 1209.0] | ✅ | |
| AH | H4,H5 | Sample | 2 | 809.76 | 20.88 | 14.76 | 2.58 | [622.2 – 997.3] | ✅ | |
| BA | A6,A7 | Sample | 2 | 948.04 | 43.65 | 30.87 | 4.60 | [555.8 – 1340.3] | ✅ | |
| BB | C6,C7 | Sample | 2 | 1,731.31 | 204.69 | 144.74 | 11.82 | [ 0.0 – 3570.4] | >ULOQ |
| BC | E6,E7 | Sample | 2 | 407.30 | 69.98 | 49.49 | 17.18 | [ 0.0 – 1036.1] | ✅ | |
| BD | G6,G7 | Sample | 2 | 27.73 | 19.80 | 14.00 | 71.42 | [ 0.0 – 205.6] | <LLOQ |
| BE | B6,B7 | Sample | 2 | 842.52 | 11.04 | 7.81 | 1.31 | [743.3 – 941.7] | ✅ | |
| BF | D6,D7 | Sample | 2 | 766.34 | 61.15 | 43.24 | 7.98 | [217.0 – 1315.7] | ✅ | |
| BG | F6,F7 | Sample | 2 | 88.35 | 5.52 | 3.90 | 6.25 | [ 38.8 – 137.9] | <LLOQ |
| BH | H6,H7 | Sample | 2 | 33.64 | 10.50 | 7.43 | 31.22 | [ 0.0 – 128.0] | <LLOQ |
Report Generated: 2026-02-10
Contact: kr.moeller@iaea.org
Feedback: Online Form
Automated bioassay analysis using modular system v2.0
[analysis_n_of]
Assay Type: ELISA
Analysis Date: 2026-02-10
Analyst: MOELLERKR
This report analyzes ELISA data using a four-parameter logistic dose–response curve to estimate concentrations of cortisol in unknown samples.
Method: Competitive enzyme-linked immunosorbent assay with %B/B0 normalization
No additional notes provided.
| Standard | Concentration (pg/mL) |
|---|---|
| 1 | 4,000.0 |
| 2 | 1,600.0 |
| 3 | 640.0 |
| 4 | 256.0 |
| 5 | 102.4 |
| 6 | 41.0 |
| 7 | 16.4 |
| 8 | 6.6 |
✅ All standards show acceptable variability (<30% CV).
| Parameter | Estimate | Std. Error | P-value | |
|---|---|---|---|---|
| b:(Intercept) | Hill Slope | 1.05 | 0.09 | NA |
| c:(Intercept) | Bottom | 0.00 | 3.71 | NA |
| d:(Intercept) | Top | 100.00 | 1.79 | NA |
| e:(Intercept) | IC50 | 378.15 | 38.52 | NA |
Model Fit Statistics:
| Nominal (pg/mL) | n | Back-Calc. (pg/mL) | SD (pg/mL) | Recovery (%) |
|---|---|---|---|---|
| 4,000.0 | 2 | 4,697.73 | 0.0 | 117.44 |
| 1,600.0 | 2 | 1,606.84 | 166.9 | 100.43 |
| 640.0 | 2 | 597.37 | 48.5 | 93.34 |
| 256.0 | 2 | 265.84 | 13.7 | 103.84 |
| 102.4 | 2 | 114.71 | 30.5 | 112.03 |
| 41.0 | 2 | 31.29 | 15.6 | 76.31 |
| 16.4 | 2 | 16.10 | 17.0 | 98.17 |
| 6.6 | 2 | NaN | — | — |
##
## **Overall Mean Recovery:** 100.2%
## ✅ Overall recovery is within acceptable range (80–120%).
##
## **Output Files Created:**
## - `unknown_results.csv` - Individual well results
## - `unknown_results_summary.csv` - Replicate group statistics with confidence intervals
##
## **⚠️ Quality Alert:**
## - Replicate groups with high variability (CV > 30%): AE, BD, BH
## - Consider checking sample preparation or dilution consistency
| Replicate Group | Sample IDs | Sample Type | n | Mean (pg/mL) | SD (pg/mL) | SE (pg/mL) | 95% CI | CV% | Range |
|---|---|---|---|---|---|---|---|---|---|
| AA | A4,A5 | Sample | 2 | 439.82 | 5.10 | 3.61 | 1.159 | [394.0 – 485.6] | ✅ | |
| AB | C4,C5 | Sample | 2 | 29.81 | 7.07 | 5.00 | 23.722 | [ 0.0 – 93.3] | <LLOQ |
| AC | E4,E5 | Sample | 2 | 1,162.91 | 31.03 | 21.94 | 2.669 | [884.1 – 1441.7] | ✅ | |
| AD | G4,G5 | Sample | 2 | 906.20 | 106.26 | 75.14 | 11.726 | [ 0.0 – 1860.9] | ✅ | |
| AE | B4,B5 | Sample | 2 | 42.27 | 18.14 | 12.83 | 42.926 | [ 0.0 – 205.3] | <LLOQ |
| AF | D4,D5 | Sample | 2 | 31.80 | 5.22 | 3.69 | 16.402 | [ 0.0 – 78.7] | <LLOQ |
| AG | F4,F5 | Sample | 2 | 948.57 | 27.35 | 19.34 | 2.884 | [702.8 – 1194.3] | ✅ | |
| AH | H4,H5 | Sample | 2 | 815.50 | 22.02 | 15.57 | 2.700 | [617.7 – 1013.3] | ✅ | |
| BA | A6,A7 | Sample | 2 | 952.49 | 50.43 | 35.66 | 5.294 | [499.4 – 1405.6] | ✅ | |
| BB | C6,C7 | Sample | 2 | 1,743.27 | 203.20 | 143.68 | 11.656 | [ 0.0 – 3568.9] | >ULOQ |
| BC | E6,E7 | Sample | 2 | 409.70 | 72.21 | 51.06 | 17.625 | [ 0.0 – 1058.5] | ✅ | |
| BD | G6,G7 | Sample | 2 | 26.70 | 19.20 | 13.57 | 71.906 | [ 0.0 – 199.2] | <LLOQ |
| BE | B6,B7 | Sample | 2 | 847.30 | 7.75 | 5.48 | 0.914 | [777.7 – 916.9] | ✅ | |
| BF | D6,D7 | Sample | 2 | 774.29 | 57.97 | 40.99 | 7.487 | [253.4 – 1295.2] | ✅ | |
| BG | F6,F7 | Sample | 2 | 87.38 | 5.76 | 4.08 | 6.596 | [ 35.6 – 139.2] | <LLOQ |
| BH | H6,H7 | Sample | 2 | 33.21 | 10.95 | 7.75 | 32.984 | [ 0.0 – 131.6] | <LLOQ |
Report Generated: 2026-02-10
Contact: kr.moeller@iaea.org
Feedback: Online Form
Automated bioassay analysis using modular system v2.0
[recommendations]
[report_generated] 2026-02-10 [contact] kr.moeller@iaea.org [feedback] [online_form]
[automated_multi]